search for: 2logq

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2006 Feb 09
1
glmm.admb - bug and possible solution??
...andom=~1, group="table", data=bm, family="binomial", link="logit") anova(m1, m1.1) I get the following output with the warning Analysis of Variance Table Model 1: survival ~ light * species * damage Model 2: survival ~ (light + damage + species)^2 NoPar LogLik Df -2logQ P.value 1 9.000 -103.307 2 9.000 -103.781 0 -0.948 Warning message: NaNs produced in: pchisq(q, df, lower.tail, log.p) The warning is generated because the df=0. This appears to be because the number of parameters is being incorrectly calculated (they should be 9 and 8 respectively). I had a loo...
2009 Jan 07
0
fixed effect significance_NB mixed models_further pursuit
...ated model has 0 degrees of freedom (because the same number of parameters is estimated for both the reduced and the saturated model); as in the output below: Model 1: glmm.admb(fixed = y ~ b1 + I(b2^2) + b1:b2? Model 2: glmm.admb(fixed = y ~ b1 + b2 + I(b2^2) + b1:b2?. NoPar LogLik Df -2logQ P.value 1 10.00 -190.66 2 10.00 -190.66 0 0.00 0.00 I thought this outcome might arise because the program might automatically implement a ?heredity? rule (see R-sig-mixed models list serv: A. Robinson, 1 Mar. 07), whereby if an interaction is included in a model, all lesser comp...